Overview

Brought to you by YData

Dataset statistics

Number of variables13
Number of observations2126
Missing cells146
Missing cells (%)0.5%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory216.0 KiB
Average record size in memory104.1 B

Variable types

Numeric13

Alerts

Dataset has 2 (0.1%) duplicate rowsDuplicates
ALTV is highly overall correlated with MSTV and 1 other fieldsHigh correlation
ASTV is highly overall correlated with MSTVHigh correlation
DL is highly overall correlated with MSTV and 1 other fieldsHigh correlation
MSTV is highly overall correlated with ALTV and 3 other fieldsHigh correlation
Width is highly overall correlated with ALTV and 2 other fieldsHigh correlation
AC has 833 (39.2%) zeros Zeros
FM has 1232 (57.9%) zeros Zeros
UC has 318 (15.0%) zeros Zeros
DL has 1166 (54.8%) zeros Zeros
DS has 1985 (93.4%) zeros Zeros
DP has 1821 (85.7%) zeros Zeros
ALTV has 1168 (54.9%) zeros Zeros
MLTV has 124 (5.8%) zeros Zeros
Tendency has 1037 (48.8%) zeros Zeros

Reproduction

Analysis started2024-11-15 10:35:10.280588
Analysis finished2024-11-15 10:35:57.402714
Duration47.12 seconds
Software versionydata-profiling vv4.12.0
Download configurationconfig.json

Variables

AC
Real number (ℝ)

Zeros 

Distinct1067
Distinct (%)50.7%
Missing20
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean0.0032189782
Minimum-0.019283747
Maximum0.038567494
Zeros833
Zeros (%)39.2%
Negative29
Negative (%)1.4%
Memory size16.7 KiB
2024-11-15T10:35:57.676183image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.019283747
5-th percentile0
Q10
median0.001633991
Q30.005649718
95-th percentile0.011099585
Maximum0.038567494
Range0.057851241
Interquartile range (IQR)0.005649718

Descriptive statistics

Standard deviation0.0043907724
Coefficient of variation (CV)1.3640267
Kurtosis12.518909
Mean0.0032189782
Median Absolute Deviation (MAD)0.001633991
Skewness2.0167875
Sum6.7791682
Variance1.9278882 × 10-5
MonotonicityNot monotonic
2024-11-15T10:35:58.062987image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 833
39.2%
0.000834028 13
 
0.6%
0.005838198 9
 
0.4%
0.00500417 9
 
0.4%
0.002502085 9
 
0.4%
0.003336113 7
 
0.3%
0.004170142 7
 
0.3%
0.007506255 7
 
0.3%
0.001668057 7
 
0.3%
0.008340284 6
 
0.3%
Other values (1057) 1199
56.4%
(Missing) 20
 
0.9%
ValueCountFrequency (%)
-0.019283747 4
0.2%
-0.000184863 1
 
< 0.1%
-0.000155735 1
 
< 0.1%
-0.000122252 1
 
< 0.1%
-0.000117563 1
 
< 0.1%
-0.00011692 1
 
< 0.1%
-0.000112305 1
 
< 0.1%
-0.000108699 1
 
< 0.1%
-0.00010001 1
 
< 0.1%
-9.09 × 10-51
 
< 0.1%
ValueCountFrequency (%)
0.038567494 6
0.3%
0.019283747 1
 
< 0.1%
0.017857143 1
 
< 0.1%
0.017667845 1
 
< 0.1%
0.017391304 1
 
< 0.1%
0.01734104 1
 
< 0.1%
0.017241379 1
 
< 0.1%
0.017073171 1
 
< 0.1%
0.016423358 1
 
< 0.1%
0.016 1
 
< 0.1%

FM
Real number (ℝ)

Zeros 

Distinct776
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0098944842
Minimum-0.4806338
Maximum0.96126761
Zeros1232
Zeros (%)57.9%
Negative54
Negative (%)2.5%
Memory size16.7 KiB
2024-11-15T10:35:58.574497image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.4806338
5-th percentile0
Q10
median0
Q30.0025665712
95-th percentile0.029394801
Maximum0.96126761
Range1.4419014
Interquartile range (IQR)0.0025665712

Descriptive statistics

Standard deviation0.06753968
Coefficient of variation (CV)6.825993
Kurtosis94.472257
Mean0.0098944842
Median Absolute Deviation (MAD)0
Skewness6.7530698
Sum21.035673
Variance0.0045616083
MonotonicityNot monotonic
2024-11-15T10:35:59.120061image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1232
57.9%
0.000834028 10
 
0.5%
0.001668057 9
 
0.4%
0.003336113 9
 
0.4%
0.005838198 7
 
0.3%
0.002502085 6
 
0.3%
-0.480633803 6
 
0.3%
0.00500417 5
 
0.2%
0.001096491 5
 
0.2%
0.961267606 4
 
0.2%
Other values (766) 833
39.2%
ValueCountFrequency (%)
-0.480633803 6
0.3%
-0.005105536 1
 
< 0.1%
-0.003434785 1
 
< 0.1%
-0.002888621 1
 
< 0.1%
-0.002467201 1
 
< 0.1%
-0.002303558 1
 
< 0.1%
-0.002075516 1
 
< 0.1%
-0.001776124 1
 
< 0.1%
-0.001686962 1
 
< 0.1%
-0.00159252 1
 
< 0.1%
ValueCountFrequency (%)
0.961267606 4
0.2%
0.480633803 1
 
< 0.1%
0.477203647 1
 
< 0.1%
0.470391993 1
 
< 0.1%
0.469250211 1
 
< 0.1%
0.45532646 1
 
< 0.1%
0.450924609 1
 
< 0.1%
0.445667125 1
 
< 0.1%
0.442724458 1
 
< 0.1%
0.441400304 1
 
< 0.1%

UC
Real number (ℝ)

Zeros 

Distinct1364
Distinct (%)64.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0043906154
Minimum-0.014925373
Maximum0.030001826
Zeros318
Zeros (%)15.0%
Negative13
Negative (%)0.6%
Memory size16.7 KiB
2024-11-15T10:35:59.632441image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.014925373
5-th percentile0
Q10.0018505908
median0.004484305
Q30.006535948
95-th percentile0.0092771558
Maximum0.030001826
Range0.044927199
Interquartile range (IQR)0.0046853572

Descriptive statistics

Standard deviation0.0033404622
Coefficient of variation (CV)0.76081868
Kurtosis10.127512
Mean0.0043906154
Median Absolute Deviation (MAD)0.002253418
Skewness0.97423945
Sum9.3344484
Variance1.1158688 × 10-5
MonotonicityNot monotonic
2024-11-15T10:36:00.068830image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 318
 
15.0%
0.000834028 24
 
1.1%
0.001668057 15
 
0.7%
0.002502085 12
 
0.6%
0.004170142 10
 
0.5%
0.003336113 8
 
0.4%
0.00500417 7
 
0.3%
0.005464481 6
 
0.3%
0.006134969 6
 
0.3%
0.005952381 6
 
0.3%
Other values (1354) 1714
80.6%
ValueCountFrequency (%)
-0.014925373 4
0.2%
-0.000131558 1
 
< 0.1%
-0.000100599 1
 
< 0.1%
-9.35 × 10-51
 
< 0.1%
-6.3 × 10-51
 
< 0.1%
-4.2 × 10-51
 
< 0.1%
-3.57 × 10-51
 
< 0.1%
-3.12 × 10-51
 
< 0.1%
-1.16 × 10-51
 
< 0.1%
-2.19 × 10-61
 
< 0.1%
ValueCountFrequency (%)
0.03000182648 1
 
< 0.1%
0.029935908 1
 
< 0.1%
0.029850746 4
0.2%
0.014925373 1
 
< 0.1%
0.014373717 1
 
< 0.1%
0.013861386 1
 
< 0.1%
0.012987013 1
 
< 0.1%
0.012622721 1
 
< 0.1%
0.012072435 1
 
< 0.1%
0.012048193 1
 
< 0.1%

DL
Real number (ℝ)

High correlation  Zeros 

Distinct822
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0018953448
Minimum-0.015393469
Maximum0.03076923
Zeros1166
Zeros (%)54.8%
Negative36
Negative (%)1.7%
Memory size16.7 KiB
2024-11-15T10:36:00.585505image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.015393469
5-th percentile0
Q10
median0
Q30.003289474
95-th percentile0.0084122005
Maximum0.03076923
Range0.046162699
Interquartile range (IQR)0.003289474

Descriptive statistics

Standard deviation0.0033426823
Coefficient of variation (CV)1.7636276
Kurtosis12.857926
Mean0.0018953448
Median Absolute Deviation (MAD)0
Skewness2.0103895
Sum4.029503
Variance1.1173525 × 10-5
MonotonicityNot monotonic
2024-11-15T10:36:01.202419image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1166
54.8%
0.000834028 22
 
1.0%
0.001668057 6
 
0.3%
0.002502085 5
 
0.2%
-0.015384615 5
 
0.2%
0.006666667 4
 
0.2%
0.003336113 4
 
0.2%
0.004282655 4
 
0.2%
0.006849315 3
 
0.1%
0.006578947 3
 
0.1%
Other values (812) 904
42.5%
ValueCountFrequency (%)
-0.015393469 1
 
< 0.1%
-0.015384615 5
0.2%
-0.00012386 1
 
< 0.1%
-0.000110488 1
 
< 0.1%
-8.01 × 10-51
 
< 0.1%
-6.83 × 10-51
 
< 0.1%
-6.67 × 10-51
 
< 0.1%
-6.19 × 10-51
 
< 0.1%
-6.08 × 10-51
 
< 0.1%
-5.9 × 10-51
 
< 0.1%
ValueCountFrequency (%)
0.03076923 3
0.1%
0.03062062 1
 
< 0.1%
0.015384615 1
 
< 0.1%
0.014742015 1
 
< 0.1%
0.014681892 1
 
< 0.1%
0.014373717 1
 
< 0.1%
0.014164306 1
 
< 0.1%
0.014150943 1
 
< 0.1%
0.013850416 1
 
< 0.1%
0.013623978 1
 
< 0.1%

DS
Real number (ℝ)

Zeros 

Distinct114
Distinct (%)5.4%
Missing21
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean2.5089835 × 10-6
Minimum-0.00135318
Maximum0.00270636
Zeros1985
Zeros (%)93.4%
Negative53
Negative (%)2.5%
Memory size16.7 KiB
2024-11-15T10:36:01.675407image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.00135318
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0.00270636
Range0.00405954
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00014153547
Coefficient of variation (CV)56.41148
Kurtosis226.82336
Mean2.5089835 × 10-6
Median Absolute Deviation (MAD)0
Skewness8.4189843
Sum0.0052814103
Variance2.003229 × 10-8
MonotonicityNot monotonic
2024-11-15T10:36:02.028157image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1985
93.4%
-0.00135318 7
 
0.3%
0.00270636 2
 
0.1%
0.001078749 1
 
< 0.1%
1.428323737 × 10-61
 
< 0.1%
4.665624583 × 10-61
 
< 0.1%
1.243535074 × 10-61
 
< 0.1%
2.397299121 × 10-61
 
< 0.1%
2.514356834 × 10-61
 
< 0.1%
9.187369686 × 10-81
 
< 0.1%
Other values (104) 104
 
4.9%
(Missing) 21
 
1.0%
ValueCountFrequency (%)
-0.00135318 7
0.3%
-6.65 × 10-61
 
< 0.1%
-6.52 × 10-61
 
< 0.1%
-5.37 × 10-61
 
< 0.1%
-5.05 × 10-61
 
< 0.1%
-4.21 × 10-61
 
< 0.1%
-4.11 × 10-61
 
< 0.1%
-4.01 × 10-61
 
< 0.1%
-3.84 × 10-61
 
< 0.1%
-3.27 × 10-61
 
< 0.1%
ValueCountFrequency (%)
0.00270636 2
0.1%
0.002703945 1
< 0.1%
0.00135318 1
< 0.1%
0.001177856 1
< 0.1%
0.001144165 1
< 0.1%
0.001078749 1
< 0.1%
0.000947867 1
< 0.1%
0.000890472 1
< 0.1%
6.323448228 × 10-61
< 0.1%
5.985853406 × 10-61
< 0.1%

DP
Real number (ℝ)

Zeros 

Distinct264
Distinct (%)12.5%
Missing21
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean0.00017515121
Minimum-0.005347594
Maximum0.010695188
Zeros1821
Zeros (%)85.7%
Negative52
Negative (%)2.4%
Memory size16.7 KiB
2024-11-15T10:36:02.359533image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.005347594
5-th percentile0
Q10
median0
Q30
95-th percentile0.0015727194
Maximum0.010695188
Range0.016042782
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.00083977136
Coefficient of variation (CV)4.7945507
Kurtosis76.027875
Mean0.00017515121
Median Absolute Deviation (MAD)0
Skewness6.4224663
Sum0.3686933
Variance7.0521594 × 10-7
MonotonicityNot monotonic
2024-11-15T10:36:02.728710image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1821
85.7%
0.010695188 6
 
0.3%
-0.005347594 4
 
0.2%
0.000834028 3
 
0.1%
-1.5 × 10-52
 
0.1%
0.001116071 2
 
0.1%
0.001261034 2
 
0.1%
0.001054852 2
 
0.1%
0.000866551 2
 
0.1%
0.001706485 2
 
0.1%
Other values (254) 259
 
12.2%
(Missing) 21
 
1.0%
ValueCountFrequency (%)
-0.005347594 4
0.2%
-4.48 × 10-51
 
< 0.1%
-4.38 × 10-51
 
< 0.1%
-3.43 × 10-51
 
< 0.1%
-3.37 × 10-51
 
< 0.1%
-2.97 × 10-51
 
< 0.1%
-2.81 × 10-51
 
< 0.1%
-2.59 × 10-51
 
< 0.1%
-2.58 × 10-51
 
< 0.1%
-2.44 × 10-51
 
< 0.1%
ValueCountFrequency (%)
0.010695188 6
0.3%
0.005347594 1
 
< 0.1%
0.004559271 1
 
< 0.1%
0.004524887 1
 
< 0.1%
0.004322767 1
 
< 0.1%
0.004081633 1
 
< 0.1%
0.00390625 1
 
< 0.1%
0.003870968 1
 
< 0.1%
0.003773585 1
 
< 0.1%
0.003724395 1
 
< 0.1%

ASTV
Real number (ℝ)

High correlation 

Distinct183
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.995984
Minimum-63
Maximum162
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)0.2%
Memory size16.7 KiB
2024-11-15T10:36:03.069453image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-63
5-th percentile21
Q132
median49
Q361
95-th percentile75
Maximum162
Range225
Interquartile range (IQR)29

Descriptive statistics

Standard deviation18.813973
Coefficient of variation (CV)0.4003315
Kurtosis4.4036598
Mean46.995984
Median Absolute Deviation (MAD)14
Skewness0.055871677
Sum99913.462
Variance353.96557
MonotonicityNot monotonic
2024-11-15T10:36:03.381147image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 60
 
2.8%
60 57
 
2.7%
58 57
 
2.7%
64 56
 
2.6%
61 53
 
2.5%
51 53
 
2.5%
63 53
 
2.5%
62 48
 
2.3%
25 45
 
2.1%
22 45
 
2.1%
Other values (173) 1599
75.2%
ValueCountFrequency (%)
-63 5
0.2%
11.79984559 1
 
< 0.1%
12 1
 
< 0.1%
13 7
0.3%
14 4
 
0.2%
15 4
 
0.2%
16 12
0.6%
17 12
0.6%
17.01339791 1
 
< 0.1%
18 9
0.4%
ValueCountFrequency (%)
162 5
 
0.2%
87 1
 
< 0.1%
86 4
 
0.2%
84 6
 
0.3%
83 4
 
0.2%
82 2
 
0.1%
81 7
0.3%
80 7
0.3%
79 15
0.7%
78.04997553 1
 
< 0.1%

MSTV
Real number (ℝ)

High correlation 

Distinct165
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3643784
Minimum-6.6
Maximum13.8
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)0.1%
Memory size16.7 KiB
2024-11-15T10:36:03.676095image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-6.6
5-th percentile0.3
Q10.7
median1.2
Q31.7
95-th percentile3
Maximum13.8
Range20.4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1736322
Coefficient of variation (CV)0.86019554
Kurtosis44.034343
Mean1.3643784
Median Absolute Deviation (MAD)0.5
Skewness4.1425183
Sum2900.6684
Variance1.3774125
MonotonicityNot monotonic
2024-11-15T10:36:04.019829image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5 116
 
5.5%
0.8 116
 
5.5%
1.3 114
 
5.4%
0.4 114
 
5.4%
0.7 112
 
5.3%
0.6 108
 
5.1%
0.9 104
 
4.9%
1.2 98
 
4.6%
1.5 95
 
4.5%
1 94
 
4.4%
Other values (155) 1055
49.6%
ValueCountFrequency (%)
-6.6 3
 
0.1%
0.2 45
2.1%
0.2505166493 1
 
< 0.1%
0.3 82
3.9%
0.305801033 1
 
< 0.1%
0.359472409 1
 
< 0.1%
0.3767356719 1
 
< 0.1%
0.3935482182 1
 
< 0.1%
0.397852112 1
 
< 0.1%
0.3983901134 1
 
< 0.1%
ValueCountFrequency (%)
13.8 7
0.3%
7 1
 
< 0.1%
6.9 1
 
< 0.1%
6.3 2
 
0.1%
6 1
 
< 0.1%
5.9 1
 
< 0.1%
5.7 1
 
< 0.1%
5.4 2
 
0.1%
5.3 1
 
< 0.1%
5.2 1
 
< 0.1%

ALTV
Real number (ℝ)

High correlation  Zeros 

Distinct195
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.285964
Minimum-91
Maximum182
Zeros1168
Zeros (%)54.9%
Negative37
Negative (%)1.7%
Memory size16.7 KiB
2024-11-15T10:36:04.349462image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-91
5-th percentile0
Q10
median0
Q311
95-th percentile58
Maximum182
Range273
Interquartile range (IQR)11

Descriptive statistics

Standard deviation21.205041
Coefficient of variation (CV)2.0615512
Kurtosis15.911891
Mean10.285964
Median Absolute Deviation (MAD)0
Skewness2.9811988
Sum21867.96
Variance449.65378
MonotonicityNot monotonic
2024-11-15T10:36:04.666203image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1168
54.9%
1 48
 
2.3%
2 44
 
2.1%
5 39
 
1.8%
4 38
 
1.8%
3 34
 
1.6%
8 33
 
1.6%
6 30
 
1.4%
12 29
 
1.4%
10 22
 
1.0%
Other values (185) 641
30.2%
ValueCountFrequency (%)
-91 3
0.1%
-1.043619084 1
 
< 0.1%
-0.899870498 1
 
< 0.1%
-0.899837444 1
 
< 0.1%
-0.809727159 1
 
< 0.1%
-0.702935751 1
 
< 0.1%
-0.70072341 1
 
< 0.1%
-0.690275646 1
 
< 0.1%
-0.679148077 1
 
< 0.1%
-0.580259763 1
 
< 0.1%
ValueCountFrequency (%)
182 6
0.3%
181.6050322 1
 
< 0.1%
91 4
0.2%
90 2
 
0.1%
88 1
 
< 0.1%
86 1
 
< 0.1%
85 1
 
< 0.1%
84 6
0.3%
82 1
 
< 0.1%
81 2
 
0.1%

MLTV
Real number (ℝ)

Zeros 

Distinct351
Distinct (%)16.7%
Missing21
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean8.2848874
Minimum-50.7
Maximum101.4
Zeros124
Zeros (%)5.8%
Negative11
Negative (%)0.5%
Memory size16.7 KiB
2024-11-15T10:36:04.966544image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-50.7
5-th percentile0
Q14.6
median7.4
Q310.9
95-th percentile18.61169
Maximum101.4
Range152.1
Interquartile range (IQR)6.3

Descriptive statistics

Standard deviation7.7728579
Coefficient of variation (CV)0.93819717
Kurtosis55.928804
Mean8.2848874
Median Absolute Deviation (MAD)3.1
Skewness3.5414481
Sum17439.688
Variance60.417321
MonotonicityNot monotonic
2024-11-15T10:36:05.295820image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 124
 
5.8%
7.1 29
 
1.4%
6.7 26
 
1.2%
5.2 23
 
1.1%
6.5 22
 
1.0%
9.5 22
 
1.0%
6.8 22
 
1.0%
7.2 22
 
1.0%
5.6 21
 
1.0%
7.5 21
 
1.0%
Other values (341) 1773
83.4%
ValueCountFrequency (%)
-50.7 5
 
0.2%
-0.200787599 1
 
< 0.1%
-0.191511204 1
 
< 0.1%
-0.172074635 1
 
< 0.1%
-0.148959362 1
 
< 0.1%
-0.136052801 1
 
< 0.1%
-0.024397388 1
 
< 0.1%
0 124
5.8%
0.1 3
 
0.1%
0.1288300283 1
 
< 0.1%
ValueCountFrequency (%)
101.4 5
0.2%
50.7 1
 
< 0.1%
41.8 1
 
< 0.1%
40.8 1
 
< 0.1%
36.9 1
 
< 0.1%
35.7 1
 
< 0.1%
34.7 1
 
< 0.1%
33.5 1
 
< 0.1%
29.6 1
 
< 0.1%
29.5 1
 
< 0.1%

Width
Real number (ℝ)

High correlation 

Distinct261
Distinct (%)12.4%
Missing21
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean70.42926
Minimum-174
Maximum357
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)0.2%
Memory size16.7 KiB
2024-11-15T10:36:05.622680image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-174
5-th percentile16
Q137
median67
Q3100
95-th percentile138
Maximum357
Range531
Interquartile range (IQR)63

Descriptive statistics

Standard deviation42.931822
Coefficient of variation (CV)0.60957366
Kurtosis5.6418167
Mean70.42926
Median Absolute Deviation (MAD)32
Skewness0.49524642
Sum148253.59
Variance1843.1413
MonotonicityNot monotonic
2024-11-15T10:36:05.938472image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 42
 
2.0%
102 33
 
1.6%
27 30
 
1.4%
31 29
 
1.4%
90 27
 
1.3%
96 25
 
1.2%
98 25
 
1.2%
42 24
 
1.1%
20 24
 
1.1%
38 23
 
1.1%
Other values (251) 1823
85.7%
ValueCountFrequency (%)
-174 5
0.2%
3 2
 
0.1%
5 2
 
0.1%
6 1
 
< 0.1%
6.964561015 1
 
< 0.1%
7 3
 
0.1%
8 9
0.4%
9 6
0.3%
10 9
0.4%
10.23422532 1
 
< 0.1%
ValueCountFrequency (%)
357 5
0.2%
180 1
 
< 0.1%
176.310998 1
 
< 0.1%
176.0207478 1
 
< 0.1%
176 4
0.2%
163 2
 
0.1%
162 1
 
< 0.1%
161 5
0.2%
158.5742723 1
 
< 0.1%
158 1
 
< 0.1%

Tendency
Real number (ℝ)

Zeros 

Distinct111
Distinct (%)5.3%
Missing21
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean0.3163714
Minimum-3
Maximum3
Zeros1037
Zeros (%)48.8%
Negative202
Negative (%)9.5%
Memory size16.7 KiB
2024-11-15T10:36:06.241170image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile-1
Q10
median0
Q31
95-th percentile1
Maximum3
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.64562185
Coefficient of variation (CV)2.0407086
Kurtosis1.4259723
Mean0.3163714
Median Absolute Deviation (MAD)0.003937388
Skewness-0.49678858
Sum665.96181
Variance0.41682757
MonotonicityNot monotonic
2024-11-15T10:36:06.561505image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1037
48.8%
1 804
37.8%
-1 149
 
7.0%
-3 5
 
0.2%
3 4
 
0.2%
0.9999260144 1
 
< 0.1%
-0.976424426 1
 
< 0.1%
-0.00988919 1
 
< 0.1%
0.9889685013 1
 
< 0.1%
-0.001281285 1
 
< 0.1%
Other values (101) 101
 
4.8%
(Missing) 21
 
1.0%
ValueCountFrequency (%)
-3 5
0.2%
-2.996313744 1
 
< 0.1%
-1.006614223 1
 
< 0.1%
-1.006588731 1
 
< 0.1%
-1.005940428 1
 
< 0.1%
-1.005385046 1
 
< 0.1%
-1.004148101 1
 
< 0.1%
-1.003861156 1
 
< 0.1%
-1.002239422 1
 
< 0.1%
-1.002108482 1
 
< 0.1%
ValueCountFrequency (%)
3 4
0.2%
1.023634941 1
 
< 0.1%
1.021553856 1
 
< 0.1%
1.016483707 1
 
< 0.1%
1.016358595 1
 
< 0.1%
1.016007896 1
 
< 0.1%
1.007938625 1
 
< 0.1%
1.006071494 1
 
< 0.1%
1.005187563 1
 
< 0.1%
1.004427557 1
 
< 0.1%

NSP
Real number (ℝ)

Distinct111
Distinct (%)5.3%
Missing21
Missing (%)1.0%
Infinite0
Infinite (%)0.0%
Mean1.3045072
Minimum-1.025988
Maximum5
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)0.3%
Memory size16.7 KiB
2024-11-15T10:36:06.860464image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-1.025988
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum5
Range6.025988
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.64461922
Coefficient of variation (CV)0.4941477
Kurtosis3.6820867
Mean1.3045072
Median Absolute Deviation (MAD)0
Skewness1.8109003
Sum2745.9876
Variance0.41553394
MonotonicityNot monotonic
2024-11-15T10:36:07.189090image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1546
72.7%
2 280
 
13.2%
3 164
 
7.7%
-1 5
 
0.2%
5 4
 
0.2%
0.9781736817 1
 
< 0.1%
1.004800057 1
 
< 0.1%
0.9895254227 1
 
< 0.1%
1.009165409 1
 
< 0.1%
1.991338816 1
 
< 0.1%
Other values (101) 101
 
4.8%
(Missing) 21
 
1.0%
ValueCountFrequency (%)
-1.025988003 1
 
< 0.1%
-1 5
0.2%
0.9670754981 1
 
< 0.1%
0.9694468894 1
 
< 0.1%
0.9723045764 1
 
< 0.1%
0.9754403771 1
 
< 0.1%
0.9781736817 1
 
< 0.1%
0.97927954 1
 
< 0.1%
0.9797379773 1
 
< 0.1%
0.9812263853 1
 
< 0.1%
ValueCountFrequency (%)
5 4
 
0.2%
3.034545139 1
 
< 0.1%
3.020038497 1
 
< 0.1%
3.019151604 1
 
< 0.1%
3.015185034 1
 
< 0.1%
3.01105313 1
 
< 0.1%
3.007323774 1
 
< 0.1%
3.004535065 1
 
< 0.1%
3 164
7.7%
2.971309236 1
 
< 0.1%

Interactions

2024-11-15T10:35:53.280520image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:10.822126image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:14.024465image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:17.426990image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:21.501746image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:25.015878image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:28.322895image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:31.979448image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:35.769092image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:39.010078image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:42.035762image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:45.607849image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:50.092965image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:53.522982image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:11.105634image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:14.256334image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:17.792960image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:21.730172image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:25.274696image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:28.603426image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:32.338243image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:36.024269image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:39.244795image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:42.291243image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:45.959633image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:50.340617image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:53.777374image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:11.353923image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:14.517716image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:18.136314image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:21.969089image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:25.563561image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:28.849663image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:32.693238image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:36.266354image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:39.497760image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:42.541588image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:46.331409image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:50.623899image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:53.987166image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:11.586463image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:14.737642image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:18.446122image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:22.183449image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:25.803942image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:29.074916image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:33.011078image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:36.508970image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:39.720159image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:42.771681image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:46.662028image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:50.845766image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:54.201392image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:11.811998image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:14.990647image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:18.760733image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:22.414628image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:26.028417image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:29.323111image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:33.353313image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:36.737835image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:39.924743image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:42.981751image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:46.995207image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:51.076825image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:54.460209image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:12.064450image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:15.257074image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:19.159944image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:22.667622image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:26.296445image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:29.602937image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:33.714043image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:37.009250image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:40.175459image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:43.244532image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:47.407871image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:51.350864image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:54.715378image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:12.318431image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:15.514555image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:19.501742image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:22.908889image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:26.582428image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:29.846993image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:34.050117image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:37.274835image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:40.437947image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:43.526951image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:47.804895image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:51.634967image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:54.920652image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:12.560340image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:15.745920image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:19.817373image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:23.119773image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:26.810397image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:30.071826image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:34.386442image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:37.506640image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:40.649949image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:43.747833image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:48.056823image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:51.846711image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:55.159656image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:12.816618image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:16.028418image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:20.204757image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:23.369032image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:27.072390image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:30.340619image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:34.630440image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:37.762374image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:40.883872image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:43.998788image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:48.309480image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:52.090907image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:55.375663image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:13.047186image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:16.260869image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:20.551505image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:23.618963image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:27.326509image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:30.587178image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:34.855026image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:38.008343image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:41.129719image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:44.243465image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:48.553480image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:52.324106image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:55.622857image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:13.286849image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:16.534973image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:20.822037image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:23.846170image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:27.603015image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:30.905304image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:35.089963image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:38.269860image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:41.363623image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:44.577184image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:48.794415image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:52.594658image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:55.848425image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:13.522871image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:16.765944image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:21.031890image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:24.557311image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:27.844090image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:31.234942image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:35.307781image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:38.513635image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:41.585045image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:44.916137image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:49.008714image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:52.816669image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:56.076265image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:13.765445image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:17.085741image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:21.264805image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:24.783292image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:28.077495image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:31.602378image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:35.546422image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:38.765053image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:41.810268image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:45.231207image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:49.864013image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-11-15T10:35:53.038782image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Correlations

2024-11-15T10:36:07.420855image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ACALTVASTVDLDPDSFMMLTVMSTVNSPTendencyUCWidth
AC1.000-0.458-0.334-0.017-0.095-0.0090.042-0.1020.310-0.415-0.0240.1230.336
ALTV-0.4581.0000.400-0.363-0.177-0.035-0.071-0.045-0.6520.3430.069-0.271-0.506
ASTV-0.3340.4001.000-0.1490.0420.0190.253-0.333-0.5100.4630.002-0.209-0.271
DL-0.017-0.363-0.1491.0000.2650.0420.031-0.2320.597-0.0450.0640.2850.566
DP-0.095-0.1770.0420.2651.0000.0500.091-0.2100.2210.241-0.1620.1000.217
DS-0.009-0.0350.0190.0420.0501.000-0.014-0.0260.0180.044-0.0200.0260.022
FM0.042-0.0710.2530.0310.091-0.0141.000-0.1100.0560.106-0.001-0.3050.174
MLTV-0.102-0.045-0.333-0.232-0.210-0.026-0.1101.000-0.017-0.1720.121-0.0720.048
MSTV0.310-0.652-0.5100.5970.2210.0180.056-0.0171.000-0.270-0.0420.3200.699
NSP-0.4150.3430.463-0.0450.2410.0440.106-0.172-0.2701.000-0.062-0.236-0.135
Tendency-0.0240.0690.0020.064-0.162-0.020-0.0010.121-0.042-0.0621.000-0.0800.146
UC0.123-0.271-0.2090.2850.1000.026-0.305-0.0720.320-0.236-0.0801.0000.133
Width0.336-0.506-0.2710.5660.2170.0220.1740.0480.699-0.1350.1460.1331.000

Missing values

2024-11-15T10:35:56.406710image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-11-15T10:35:56.879240image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-11-15T10:35:57.208004image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

ACFMUCDLDSDPASTVMSTVALTVMLTVWidthTendencyNSP
00.0000000.00.0000000.0000000.00.00000073.00.543.02.464.0000000.9999262.000000
10.0063800.00.0063800.0031900.00.00000017.02.10.010.4130.0000000.0000001.000000
20.0033220.00.0083060.0033220.00.00000016.02.10.013.4130.0000000.0000001.000000
30.0025610.00.0077420.0025610.00.00000016.02.40.023.0117.0000001.0000001.000000
40.0065150.00.0081430.0000000.00.00000016.02.40.019.9117.0000001.0000001.000000
50.0011160.00.0104930.0094440.00.00209926.05.90.00.0150.0000000.0000003.000000
60.0014030.00.0126230.0084150.00.00280529.06.30.00.0150.0000000.000000-1.025988
70.0000000.00.0000000.0000000.00.00000083.00.56.015.669.9202611.0000003.000000
80.0385670.00.0015170.0000000.00.00000084.00.55.013.668.0000001.0000003.000000
90.0000000.00.0029670.0000000.00.00000086.00.36.010.668.0000001.0000003.000000
ACFMUCDLDSDPASTVMSTVALTVMLTVWidthTendencyNSP
21160.0039680.0000000.0039680.0000000.00.080.00.236.0000002.218.00.0000001.000000
21170.0000000.0000000.0078120.0000000.00.079.00.320.0000008.526.01.0029321.000000
21180.0000000.0000000.0064700.0008980.00.079.00.526.4281797.021.01.0000001.000000
21190.0000000.0000000.0067640.0011270.00.079.00.627.0000006.426.01.0000001.000000
21200.0000000.0000000.0049750.0012440.00.077.00.717.0000006.031.00.0000001.000000
21210.0000000.9612680.0074260.0000000.00.079.00.225.0000007.240.00.0000002.000000
21220.0007750.0000000.0069790.0000000.00.078.00.422.0000007.166.01.0000002.000000
21230.0009800.0000000.0068630.0000000.00.079.00.420.0000006.167.01.0000001.990464
21240.0006790.0000000.0061100.0000000.00.078.00.427.0000007.066.01.0000002.000000
21250.001616-0.0001880.0080780.0000000.00.074.00.435.8571835.042.00.0000001.000000

Duplicate rows

Most frequently occurring

ACFMUCDLDSDPASTVMSTVALTVMLTVWidthTendencyNSP# duplicates
00.0000000.00.0000000.00.00.019.01.90.015.139.00.01.02
10.0047170.00.0023580.00.00.040.00.90.010.635.00.01.02